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In my experience, most partition implementations in data warehouse systems use local indexes. In an OLTP system, global indexes are much more common, and we ll see why shortly it has to do with the need to perform partition elimination on the index structures to maintain the same query response times after partitioning as before partitioning them.

Following are the key benefits of using the flash recovery area: It acts as a central storage area. It allows you to automatically manage recovery-related disk space. It allows you to carry out backup and restore operations more quickly. Backups have an increased reliability, because disks are safer storage devices than tapes.

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Datatypes. You can see we are partitioning by a TIMESTAMP and we are adding an INTERVAL of one month to it. In the Datatypes chapter, we saw how adding an INTERVAL of one month to a TIMESTAMP that fell on January 31st would raise an error, since there is no February 31st. Would the same thing be possible with interval partitioning The answer is in short no. If you attempt to use a date such as 29-01-1990 (any day of the month after 28 would suffice), you will receive an error ORA-14767: Cannot specify this interval with existing high bounds . The database will not permit you to use a boundary value that is not safe to add the interval to.

Because you are no longer restoring tape backups, backup and restore operations are quicker Even the backups moved to tape from the flash recovery area are retained on disk as long as there is room in the flash recovery area Backup files that become obsolete per your recoverability goals will be automatically deleted when space is needed for new files Ideally, the flash recovery area holds a full backup of every datafile, your incremental backups, control file backups, and every archived redo log that is required for media recovery In addition, you can use the flash recovery area as a disk cache for tape If you configure a flash recovery area, RMAN will store all the backup-related files in it by default In this case, Oracle will use OMF files and generate the filenames.

Local indexes have certain properties that make them the best choice for most data warehouse implementations. They support a more available environment (less downtime), since problems will be isolated to one range or hash of data. Since it can point to many table partitions, a global index, on the other hand, may become a point of failure, rendering all partitions inaccessible to certain queries. Local indexes are more flexible when it comes to partition maintenance operations. If the DBA decides to move a table partition, only the associated local index partition needs to be rebuilt or maintained. With a global index, all index partitions must be rebuilt or maintained in real time. The same is true with sliding window implementations, where old data is aged out of the partition and new data is aged in. No local indexes will be in need of a rebuild, but all global indexes will be either rebuilt or maintained during the partition operation. In some cases, Oracle can take advantage of the fact that the index is locally partitioned with the table and will develop optimized query plans based on that. With global indexes, there is no such relationship between the index and table partitions. Local indexes also facilitate a partition point-in-time recovery operation. If a single partition needs to be recovered to an earlier point in time than the rest of the table for some reason, all locally partitioned indexes can be recovered to that same point in time. All global indexes would need to be rebuilt on this object. This does not mean avoid global indexes in fact, they are vitally important for performance reasons, as you ll learn shortly you just need to be aware of the implications of using them.

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